Affective Computing 2017

Publications

1st Workshop Publications

Liu, D., Fengjiao, P., Rudovic, O.(. & Picard, R.. (2017). DeepFaceLIFT: Interpretable Personalized Models for Automatic Estimation of Self-Reported Pain. Proceedings of IJCAI 2017 Workshop on Artificial Intelligence in Affective Computing, in PMLR 66:1-16

Jaques, N., Rudovic, O.(., Taylor, S., Sano, A. & Picard, R.. (2017). Predicting Tomorrow’s Mood, Health, and Stress Level using Personalized Multitask Learning and Domain Adaptation. Proceedings of IJCAI 2017 Workshop on Artificial Intelligence in Affective Computing, in PMLR 66:17-33

Atcheson, M., Sethu, V. & Epps, J.. (2017). Gaussian Process Regression for Continuous Emotion Recognition with Global Temporal Invariance. Proceedings of IJCAI 2017

Workshop on Artificial Intelligence in Affective Computing, in PMLR 66:34-44

Li, M., Lu, Q., Long, Y. & Gui, L.. (2017). Affective State Prediction of Contextualized Concepts. Proceedings of IJCAI 2017 Workshop on Artificial Intelligence in Affective Computing, in PMLR 66:45-57

Yates, H., Chamberlain, B., Norman, G. & Hsu, W.H.. (2017). Arousal Detection for Biometric Data in Built Environments using Machine Learning. Proceedings of IJCAI 2017 Workshop on Artificial Intelligence in Affective Computing, in PMLR 66:58-72